{"id":"W3133995936","doi":"10.1155/2021/6636130","title":"Identifying Factors Contributing to the Motorcycle Crash Severity in Pakistan","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation-Driven Project of Central South University; Central South University","keywords":"Crash; Context (archaeology); Injury prevention; Human factors and ergonomics; Poison control; Environmental health; Developing country; Enforcement; Occupational safety and health; Suicide prevention; Transport engineering; Medicine; Business; Engineering; Geography; Economic growth; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041614,0.0002892513,0.0001946466,0.0009546061,0.000678906,0.000609684,0.0002522906,0.0003170535,0.001832162],"category_scores_gemma":[0.001609372,0.0002282449,0.0004788671,0.0007876187,0.0003011729,0.0004460918,0.0005577777,0.0004544242,0.0002144998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457833,"about_ca_system_score_gemma":0.001209161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05032003,"about_ca_topic_score_gemma":0.05479842,"domain_scores_codex":[0.9996889,0.00004917382,0.00004507965,0.00005240874,0.00007905518,0.00008550383],"domain_scores_gemma":[0.9990906,0.0001194697,0.0004161071,0.00003586617,0.0002142508,0.0001236948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001392536,0.00003132635,0.9980658,0.000007496608,0.00001190193,0.0001188922,0.0001528451,0.00008385628,0.00006360514,0.00002350461,0.0001137046,0.001313021],"study_design_scores_gemma":[0.000001482586,0.00005458917,0.9974559,0.00001189919,0.00001147099,0.0002251626,0.001352996,0.0005629294,0.00005087718,0.00004143664,0.0002249201,0.00000626337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998952,0.00007568076,0.0001166231,0.0001019045,0.000004944281,0.00001724607,0.0002085154,0.000001852652,0.0005210896],"genre_scores_gemma":[0.9995228,0.0001096449,0.00006243314,0.0000118602,0.000003744353,0.000003890946,0.0001905429,5.49982e-7,0.00009457786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05032003,"threshold_uncertainty_score":0.1000543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008567985724712523,"score_gpt":0.2645329247456057,"score_spread":0.2559649390208932,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}